基于多智能体的农业环境政策影响下农户劳动力配置与土地利用决策机理研究
发布时间:2021-07-23 21:32
一、研究背景(1)人类—自然耦合系统的动态演化是全球变化研究的重要方向人类生活在一个由人类社会与自然环境不断相互作用形成的耦合系统中。一方面,人类依赖自然获得大量生态系统产品(如食物、能源、原材料等)和服务(如气候调节、土壤保持等)。据统计,地球光合作用产物有40%的被人类消耗(Haberl et al.,2004)。与此同时,人类不停改造着自然系统以增强某些生态系统产品和服务的供给以满足眼前需求,这通常导致其他服务的降低,并造成负面的环境后果。据《千年生态系统评估报告》,人类赖以生存的生态系统有60%正处于不断退化状态(MEA,2005)。另一方面,自然也以生态系统退化和频发的自然灾害(如洪水、干旱、龙卷风)等方式反馈给人类,影响人类的生存和福祉,并改变了人类的生活和生计选择,例如,农民改变作物选择以应对气候和降雨的变化。随着人类社会与自然环境交互的日益加剧、环境问题的不断突出,学者们逐渐认识到“人类—自然耦合系统”研究的重要性。人类—自然耦合系统的研究已经成为全球变化研究者的兴趣中心所在。2005年,由国际全球环境变化研究科学机构IGBP和IHDP共同发起的“全球土地计划项目”(G...
【文章来源】:中国地质大学湖北省 211工程院校 教育部直属院校
【文章页数】:247 页
【学位级别】:博士
【文章目录】:
作者简历
中文摘要
Abstract
Chapter 1 Introduction
1.1 Research background
1.1.1 The growing interests in coupled human and natural systems
1.1.2 The need to investigate rural household decisions in the CHANS context
1.1.3 The need for an integrated evaluation on agri-environmental programs
1.1.4 Agent-based modeling emerges as a promising tool for studying CHANS
1.2 Literature review
1.2.1 Household economic theories
1.2.2 Methods for studying CHANS
1.2.3 Agent-based models in CHANS
1.3 Research objectives and contents
1.3.1 Research objectives
1.3.2 Research questions
1.3.3 Outline of the dissertation
Chapter 2 The study area: Tiantangzhai Township
2.1 Study area
2.1.1 Location and natural environment
2.1.2 Socio-economic environment
2.1.3 Policy environment
2.2 Data collection
2.2.1 Demographic and socio-economic datasets
2.2.2 Spatial datasets and spatial connections
Chapter 3 The mechanisms of rural household labor allocation
3.1 Theoretical and empirical frameworks
3.1.1 Household labor allocation
3.1.2 Theoretical framework
3.1.3 Empirical framework
3.2 Data processing and method
3.2.1 Data processing
3.2.2 The statistical model
3.3 Results
3.3.1 Descriptive statistics
3.3.2 Model evaluation
3.3.3 Direct, indirect and total effects
3.3.4 Multi-group analysis
3.4 Policy implications
Chapter 4 The mechanisms of rural household land use decision-making
4.1 Theoretical and empirical frameworks
4.1.1 Household land allocation
4.1.2 Theoretical framework
4.1.3 Empirical framework
4.2 Data processing and method
4.2.1 Data processing
4.2.2 The statistical model
4.3 Results
4.3.1 Descriptive statistics
4.3.2 Determinants of land use decision
4.3.3 Interaction effects
4.4 Policy implications
4.4.1 Policy interactions: synergies, trade-offs, and total effects of policies
4.4.2 The importance of more effective use of abandoned cropland
Chapter 5 Design of an agent-based model to examine human–environmentinteractions in a rural agricultural context based on the ODD protocol
5.1 Model overview
5.1.1 Purpose
5.1.2 Entities, state variables, and scales
5.1.3 Process overview and scheduling
5.2 Design Concepts
5.3 Details
5.3.1 Initialization
5.3.2 Input Data
5.3.3 Submodels
5.4 Validation and calibration
Chapter 6 Evaluation of the impacts of agri-environmental policies onhousehold labor and land use decisions with the RHLIS model
6.1 Policy experiments design
6.1.1 Scenario design
6.1.2 Indicators of dynamics in human and landscape systems
6.2 The coupled system dynamics under different behavior rules
6.3 The coupled system dynamics under single policy intervention
6.3.1 Impacts of CCFP
6.3.2 Impact on EWFP
6.3.3 Impacts of grain compensation subsidy
6.4 Interactions between agri-environmental policies
6.4.1 Interaction between CCFP and EWFP
6.4.2 Interaction between CCFP and Grain subsidy
6.4.3 Interaction between EWFP and grain subsidy
6.4.4 Three-way interactions
Chapter 7 Conclusions and future study
7.1 Main conclusions
7.1.1 Rural household labor allocation
7.1.2 Rural household land use decision-making
7.1.3 Insights from the Rural Household-Landscape Interaction (RHLIS) model
7.2 Contributions
7.2.1 Explicit representation of micro-level human behavior in land use changeprocesses from a bottom-up perspective
7.2.2 Design of two sets of household decision-making rules to explore theinteractions between rural households and the landscape
7.2.3 Development of a spatially-explicit decision support tool
7.3 Limitations
致谢
References
Appendix: Questionnaire for wealth index
【参考文献】:
期刊论文
[1]Designing price-contingent vegetable rotation schedules using agent-based simulation[J]. LI Jing,Daniel Rodriguez,WANG Hao-xiang,WU Liu-san. Journal of Integrative Agriculture. 2018(02)
[2]环渤海地区城乡发展转型的过程及成因研究(英文)[J]. 刘彦随,胡智超,李玉恒. Journal of Geographical Sciences. 2014(06)
[3]基于农户行为的农作物空间格局变化模拟模型架构[J]. 余强毅,吴文斌,唐华俊,杨鹏,李正国,夏天,刘珍环,周清波. 中国农业科学. 2013(15)
本文编号:3300075
【文章来源】:中国地质大学湖北省 211工程院校 教育部直属院校
【文章页数】:247 页
【学位级别】:博士
【文章目录】:
作者简历
中文摘要
Abstract
Chapter 1 Introduction
1.1 Research background
1.1.1 The growing interests in coupled human and natural systems
1.1.2 The need to investigate rural household decisions in the CHANS context
1.1.3 The need for an integrated evaluation on agri-environmental programs
1.1.4 Agent-based modeling emerges as a promising tool for studying CHANS
1.2 Literature review
1.2.1 Household economic theories
1.2.2 Methods for studying CHANS
1.2.3 Agent-based models in CHANS
1.3 Research objectives and contents
1.3.1 Research objectives
1.3.2 Research questions
1.3.3 Outline of the dissertation
Chapter 2 The study area: Tiantangzhai Township
2.1 Study area
2.1.1 Location and natural environment
2.1.2 Socio-economic environment
2.1.3 Policy environment
2.2 Data collection
2.2.1 Demographic and socio-economic datasets
2.2.2 Spatial datasets and spatial connections
Chapter 3 The mechanisms of rural household labor allocation
3.1 Theoretical and empirical frameworks
3.1.1 Household labor allocation
3.1.2 Theoretical framework
3.1.3 Empirical framework
3.2 Data processing and method
3.2.1 Data processing
3.2.2 The statistical model
3.3 Results
3.3.1 Descriptive statistics
3.3.2 Model evaluation
3.3.3 Direct, indirect and total effects
3.3.4 Multi-group analysis
3.4 Policy implications
Chapter 4 The mechanisms of rural household land use decision-making
4.1 Theoretical and empirical frameworks
4.1.1 Household land allocation
4.1.2 Theoretical framework
4.1.3 Empirical framework
4.2 Data processing and method
4.2.1 Data processing
4.2.2 The statistical model
4.3 Results
4.3.1 Descriptive statistics
4.3.2 Determinants of land use decision
4.3.3 Interaction effects
4.4 Policy implications
4.4.1 Policy interactions: synergies, trade-offs, and total effects of policies
4.4.2 The importance of more effective use of abandoned cropland
Chapter 5 Design of an agent-based model to examine human–environmentinteractions in a rural agricultural context based on the ODD protocol
5.1 Model overview
5.1.1 Purpose
5.1.2 Entities, state variables, and scales
5.1.3 Process overview and scheduling
5.2 Design Concepts
5.3 Details
5.3.1 Initialization
5.3.2 Input Data
5.3.3 Submodels
5.4 Validation and calibration
Chapter 6 Evaluation of the impacts of agri-environmental policies onhousehold labor and land use decisions with the RHLIS model
6.1 Policy experiments design
6.1.1 Scenario design
6.1.2 Indicators of dynamics in human and landscape systems
6.2 The coupled system dynamics under different behavior rules
6.3 The coupled system dynamics under single policy intervention
6.3.1 Impacts of CCFP
6.3.2 Impact on EWFP
6.3.3 Impacts of grain compensation subsidy
6.4 Interactions between agri-environmental policies
6.4.1 Interaction between CCFP and EWFP
6.4.2 Interaction between CCFP and Grain subsidy
6.4.3 Interaction between EWFP and grain subsidy
6.4.4 Three-way interactions
Chapter 7 Conclusions and future study
7.1 Main conclusions
7.1.1 Rural household labor allocation
7.1.2 Rural household land use decision-making
7.1.3 Insights from the Rural Household-Landscape Interaction (RHLIS) model
7.2 Contributions
7.2.1 Explicit representation of micro-level human behavior in land use changeprocesses from a bottom-up perspective
7.2.2 Design of two sets of household decision-making rules to explore theinteractions between rural households and the landscape
7.2.3 Development of a spatially-explicit decision support tool
7.3 Limitations
致谢
References
Appendix: Questionnaire for wealth index
【参考文献】:
期刊论文
[1]Designing price-contingent vegetable rotation schedules using agent-based simulation[J]. LI Jing,Daniel Rodriguez,WANG Hao-xiang,WU Liu-san. Journal of Integrative Agriculture. 2018(02)
[2]环渤海地区城乡发展转型的过程及成因研究(英文)[J]. 刘彦随,胡智超,李玉恒. Journal of Geographical Sciences. 2014(06)
[3]基于农户行为的农作物空间格局变化模拟模型架构[J]. 余强毅,吴文斌,唐华俊,杨鹏,李正国,夏天,刘珍环,周清波. 中国农业科学. 2013(15)
本文编号:3300075
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